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Generative Ai Engineer Jobs in Michigan (NOW HIRING)

AI engineer

Dearborn, MI ยท On-site

$89K - $122K/yr

AI engineer Location: Dearborn, MI,48120- 2 days onsite in a week Employment Type: Full-time ... Experience with Generative AI - LLM and building frontend with React / Chainlit / Streamlit.

Role:: AI Engineer/ Developer Location: Okemos, MI (onsite/ Hybrid) Duration: 12 months+ Rate ... Rapidly prototype applications that demonstrate new capabilities in LLMs or generative AI

Midlevel AI Developer

Ann Arbor, MI ยท On-site

$50 - $55/hr

As an AI Engineer, you will design, develop, and deploy AI-powered applications and services that ... Build and integrate Generative AI solutions using Large Language Models (LLMs). Develop AI agents ...

AO Engineer III

Pontiac, MI ยท On-site

$110 - $160/hr

United Wholesale Mortgage is hiring an AI Engineer III for a 100% on-site position in Pontiac, MI. Duties * Conduct research on cutting-edge techniques in the field of generative AI. * Collaborate ...

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... generative AI tools. - Experience building applications, automations, internal tools, scripts ...

AI Engineer

Dearborn, MI ยท On-site

$61 - $66/hr

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... as deep learning, generative AI, natural language processing, image processing, cognitive ...

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... as deep learning, generative AI, natural language processing, image processing, cognitive ...

New

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... as deep learning, generative AI, natural language processing, image processing, cognitive ...

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... as deep learning, generative AI, natural language processing, image processing, cognitive ...

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... as deep learning, generative AI, natural language processing, image processing, cognitive ...

You will drive innovation in Generative AI, lead the evolution toward agentic AI systems, and ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

AI Engineer

Dearborn, MI ยท On-site

$84 - $91/hr

Stefanini is looking for an AI Engineer, Dearborn, MI (Onsite) Responsibilities * Understand ... as deep learning, generative AI, natural language processing, image processing, cognitive ...

New

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

AI Engineer

Detroit, MI ยท On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

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Showing results 1-20

Generative Ai Engineer information

See Michigan salary details

$33.1K

$101K

$166.9K

How much do generative ai engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for generative ai engineer in Michigan is $100,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $132,000.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Michigan?

The most popular types of Generative Ai Engineer jobs in Michigan are:

What are popular job titles related to Generative Ai Engineer jobs in Michigan?

For Generative Ai Engineer jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Generative Ai Engineer jobs?

Cities in Michigan with the most Generative Ai Engineer job openings:

Infographic showing various Generative Ai Engineer job openings in Michigan as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $100,987 per year, or $48.6 per hour.

Mid-Level AI Engineer / AI Developer

Apex Systems

Ann Arbor, MI โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago


Job description

Job#: 3041033
Job Description:
Mid-Level AI Engineer / AI Developer
Position Summary
We are seeking a Mid-Level AI Engineer to design, develop, deploy, and support AI-powered applications and services that deliver business value at scale. This role works closely with software engineers, product managers, architects, data teams, and business stakeholders to build enterprise-grade AI solutions using modern machine learning techniques, generative AI platforms, agent frameworks, and cloud-native software engineering practices.
Experience Level
Professional Experience
  • 3-6 years of software engineering or application development experience.
  • 2+ years of hands-on experience delivering AI, machine learning, or Generative AI solutions.

Key Responsibilities
AI Application Development
  • Design, develop, test, deploy, and maintain AI-enabled applications and services.
  • Build and integrate Generative AI solutions using Large Language Models (LLMs) and foundation models.
  • Develop AI-powered copilots, assistants, conversational experiences, and enterprise automation solutions.
  • Engineer scalable AI workflows that leverage prompt orchestration, tool usage, and agent-based interactions.
  • Translate business requirements into secure, reliable, and maintainable technical solutions.

Generative AI & Agent Engineering
  • Develop AI agents, tools, workflows, and orchestration frameworks.
  • Design and implement Retrieval-Augmented Generation (RAG), semantic search, and enterprise knowledge retrieval solutions.
  • Build and maintain MCP (Model Context Protocol) integrations, tool-calling frameworks, and multi-agent systems.
  • Create and optimize prompts, system instructions, and evaluation processes to improve AI performance and reliability.
  • Evaluate model behavior and implement strategies for improving response quality, grounding, and accuracy.

Software Engineering & Platform Development
  • Build APIs, microservices, and backend services that support AI workloads.
  • Develop reusable components and services that enable scalable AI capabilities across the organization.
  • Apply software engineering best practices including code reviews, testing, documentation, and version control.
  • Participate in architectural design and technical decision-making for AI solutions and platforms.
  • Ensure AI services meet performance, scalability, security, and availability requirements.

AI Operations & Optimization
  • Evaluate, benchmark, and optimize AI models for quality, latency, reliability, and cost efficiency.
  • Implement automated testing, monitoring, logging, and observability for AI applications.
  • Support AI systems in production environments and participate in troubleshooting, incident response, and root cause analysis.
  • Monitor application performance and implement continuous improvements based on usage and operational insights.
  • Establish evaluation frameworks and performance benchmarks for AI systems.

Governance, Security & Compliance
  • Implement responsible AI practices and enterprise governance requirements.
  • Ensure AI solutions comply with security, privacy, and regulatory requirements.
  • Apply guardrails, content controls, identity management, and access controls where appropriate.
  • Collaborate with security, compliance, and architecture teams to mitigate risks associated with AI deployments.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 3-6 years of software development experience.
  • Minimum 2 years of experience developing AI, machine learning, or Generative AI solutions.
  • Strong programming skills in one or more of the following:
    • Python
    • Java
    • C#
    • JavaScript / TypeScript
  • Experience designing and developing RESTful APIs and distributed services.
  • Experience working with cloud platforms including:
    • Microsoft Azure
    • Amazon Web Services (AWS)
    • Google Cloud Platform (Google Cloud Platform)
  • Solid understanding of software engineering fundamentals, including:
    • Object-oriented design
    • Design patterns
    • Automated testing
    • CI/CD pipelines
    • Application security
    • Monitoring and observability
  • Experience working within Agile software development environments.
  • Strong problem-solving, analytical, and communication skills.

Preferred Qualifications
  • Experience working with industry-leading AI platforms and models, including:
    • OpenAI
    • Azure OpenAI
    • Anthropic Claude
    • Google Gemini
  • Experience developing:
    • AI agents
    • Agent orchestration platforms
    • MCP-based integrations
    • Tool-calling frameworks
    • Multi-agent workflows
  • Experience implementing RAG architectures and enterprise knowledge search solutions.
  • Familiarity with vector databases, embeddings, semantic search, and knowledge retrieval systems.
  • Experience with prompt engineering, prompt evaluation, and AI benchmarking frameworks.
  • Experience with containerization and orchestration technologies, including:
    • Docker
    • Kubernetes
    • Cloud Run
  • Experience deploying and operating cloud-native applications.
  • Knowledge of Responsible AI, AI governance, and enterprise AI risk management practices.

EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.